Unverified50% confidenceTradeoffExact time
过度对齐（Overalignment）现象指模型在边界情形下倾向过度拒绝合理请求，是Constitutional AI安全优先策略的潜在代价
1
Sources
50%
Confidence
Long-term
Relevance
7/15/2026
First Seen
Sources
Related Claims
UnverifiedAI model over-refusal is a known issue in safety alignment research, where RLHF and Constitutional AI training cause models to incorrectly classify harmless requests as requiring refusal74% similarUnverified在AI安全领域，失准指模型的实际行为偏离设计者或使用者意图的现象，当代大模型的失准更多表现为目标过度追求69% similarUnverified告知AI总集数会使模型倾向于分散布局矛盾冲突，避免过早消耗核心看点67% similarVerified过度依赖AI可能带来思维惰性、技能退化和信息茧房等潜在风险67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/518248API
curl https://kongchang.com/api/v1/knowledge/claims/518248MCP
get_claim(id=518248)